In this hands-on MLOps project, we will walk you through how to detect data drift in a machine learning model using Alibi Detect and automatically retrain the model using Apache Airflow.

Data drift detection for machine learning using Evidently AI and Valohai. MLOps pipeline: preprocessing, training, drift monitoring and conditional retraining. Python, scikit-learn, California Housing example.

A scalable demand forecasting system implementing automated retraining, MLflow-based model management, and cloud deployment using production-grade MLOps practices.

🌱 Manifeste de la Clairveillance : pour des institutions qui mesurent, doutent et apprennent

🌟 Explore how entropy and negentropy shape our world and learn to build a clearer future with insights from machine intelligence.